基本信息
黄文江 男 博导 中国科学院空天信息创新研究院
电子邮件: huangwj@aircas.ac.cn
通信地址: 中国科学院空天信息创新研究院海淀区邓庄南路9号A610
邮政编码: 100094
电子邮件: huangwj@aircas.ac.cn
通信地址: 中国科学院空天信息创新研究院海淀区邓庄南路9号A610
邮政编码: 100094
博士生导师
招生专业
070503-地图学与地理信息系统085400-电子信息085700-资源与环境
招生方向
植被遥感与应用农业遥感病虫害遥感
教育背景
2002-09--2005-06 北京师范大学 研究生,博士1997-09--2000-06 安徽农业大学 研究生,硕士1993-09--1997-06 安徽农业大学 本科,学士
行政职务
数字地球重点实验室主任
学位
博士
工作经历
工作简历
2022-09~现在, 中国科学院空天信息创新研究院, 研究员2020-07~2022-08,中国科学院空天信息创新研究院, 数字地球重点实验室主任2018-12~2020-07,中国科学院空天信息创新研究院, 数字地球重点实验室执行主任2012-04~2018-11,中国科学院遥感与数字地球研究所(中国科学院对地观测与数字地球科学中心), ****,研究员,实验室副主任2000-07~2012-04,北京市农林科学院, 助研、副研、研究员
社会兼职
2021-09-27-2024-09-30,应急卫星工程与应用应急管理部重点实验室, 副主任
2021-07-27-2026-08-26,可持续发展大数据国际研究中心, 学术建设委员会副主任
2020-10-10-2023-12-31,全国草原有害生物普查专家组, 成员
2019-04-01-2022-11-30,空天信息创新研究院学位委员会委员, 学位委员会委员
2018-07-01-2021-06-30,中国农学会农业信息分会副主任委员, 副主任委员
2018-03-24-2023-03-24,林业有害生物监测预警重点实验室学术委员会, 委员
2013-04-10-今,Indo-American Journal of Agricultural and Veterinary Sciences, 编委
2011-07-01-今,Journal of Agricultural Science and Application, 编委
2011-01-08-今,International Journal of Agricultural and Biological Engineering, 编委
2008-10-08-今,中国土壤学会理事, 理事
2021-07-27-2026-08-26,可持续发展大数据国际研究中心, 学术建设委员会副主任
2020-10-10-2023-12-31,全国草原有害生物普查专家组, 成员
2019-04-01-2022-11-30,空天信息创新研究院学位委员会委员, 学位委员会委员
2018-07-01-2021-06-30,中国农学会农业信息分会副主任委员, 副主任委员
2018-03-24-2023-03-24,林业有害生物监测预警重点实验室学术委员会, 委员
2013-04-10-今,Indo-American Journal of Agricultural and Veterinary Sciences, 编委
2011-07-01-今,Journal of Agricultural Science and Application, 编委
2011-01-08-今,International Journal of Agricultural and Biological Engineering, 编委
2008-10-08-今,中国土壤学会理事, 理事
教授课程
遥感科学-B数字地球技术及应用数字地球技术与应用遥感物理植被定量遥感植被定量遥感研究生课程农业定量遥感植被高光谱遥感研究生定量遥感课程
专利与奖励
奖励信息
(1) 梁希林业科学技术奖, 二等奖, 部委级, 2021(2) 国家高层次人才特殊支撑计划“万人计划”, 国家级, 2018(3) 高光谱遥感信息机理与多学科应用, 二等奖, 国家级, 2018(4) 遥感与机理模型融合的主要粮食作物农情预测技术及应用, 一等奖, 部委级, 2017(5) 面向农田生态环境过程的定量遥感监测关键技术创新与应用, 二等奖, 部委级, 2017(6) 中国科学院杰出科技成就奖, 特等奖, 部委级, 2016(7) 国务院政府特殊津贴, 国家级, 2016(8) 科技部中青年科技创新领军人才, 部委级, 2015(9) 大北农科技奖成果奖二等奖, 二等奖, 其他, 2015(10) 基于多源时空信息的农情定量遥感监测关键技术创新与应用, 一等奖, 部委级, 2014(11) 数字农业测控关键技术产品与系统, 二等奖, 国家级, 2010(12) 主要农作物定量遥感研究与应用, 三等奖, 部委级, 2009(13) 新世纪百千万人才工程, , 市地级, 2008(14) 农业定量遥感技术研究与示范, 三等奖, 省级, 2007
专利成果
( 1 ) 发明专利-农作物病虫害定损理赔方法及系统, 发明专利, 2022, 第 1 作者, 专利号: ZL201910549551.6
出版信息
发表论文
[1] Zhang, Xianwei, Huang, Wenjiang, Ye, Huichun, Lu, Longhui. Study on the Identification of Habitat Suitability Areas for the Dominant Locust Species Dasyhippus Barbipes in Inner Mongolia. REMOTE SENSING[J]. 2023, 15(6): http://dx.doi.org/10.3390/rs15061718.[2] Guo, Jing, Lu, Longhui, Dong, Yingying, Huang, Wenjiang, Zhang, Bing, Du, Bobo, Ding, Chao, Ye, Huichun, Wang, Kun, Huang, Yanru, Hao, Zhuoqing, Zhao, Mingxian, Wang, Ning. Spatiotemporal Distribution and Main Influencing Factors of Grasshopper Potential Habitats in Two Steppe Types of Inner Mongolia, China. REMOTE SENSING[J]. 2023, 15(3): http://dx.doi.org/10.3390/rs15030866.[3] Yanru Huang, Hua Lv, Yingying Dong, Wenjiang Huang, Gao Hu, Yang Liu, Hui Chen, Yun Geng, Jie Bai, Peng Guo, Yifeng Cui. Mapping the Spatio-Temporal Distribution of Fall Armyworm in China by Coupling Multi-Factors. REMOTE SENSING[J]. 2022, 14(17): http://dx.doi.org/10.3390/rs14174415.[4] Lu, Longhui, Kong, Weiping, Eerdengqimuge, Ye, Huichun, Sun, Zhongxiang, Wang, Ning, Du, Bobo, Zhou, Yantao, Weijun, Huang, Wenjiang. Detecting Key Factors of Grasshopper Occurrence in Typical Steppe and Meadow Steppe by Integrating Machine Learning Model and Remote Sensing Data. INSECTS[J]. 2022, 13(10): http://dx.doi.org/10.3390/insects13100894.[5] Guo, Jing, Zhao, Longlong, Huang, Wenjiang, Dong, Yingying, Geng, Yun. Study on the Forming Mechanism of the High-Density Spot of Locust Coupled with Habitat Dynamic Changes and Meteorological Conditions Based on Time-Series Remote Sensing Images. Agronomy[J]. 2022, 12(7): 1610-1610, https://doi.org/10.3390/agronomy12071610.[6] Luo, Peilei, Ye, Huichun, Huang, Wenjiang, Liao, Jingjuan, Jiao, Quanjun, Guo, Anting, Qian, Binxiang. Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data. REMOTE SENSING[J]. 2022, 14(21): http://dx.doi.org/10.3390/rs14215624.[7] Ren, Yu, Huang, Wenjiang, Ye, Huichun, Zhou, Xianfeng, Ma, Huiqin, Dong, Yingying, Shi, Yue, Geng, Yun, Huang, Yanru, Jiao, Quanjun, Xie, Qiaoyun. Quantitative identification of yellow rust in winter wheat with a new spectral index: Development and validation using simulated and experimental data. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2021, 102: http://dx.doi.org/10.1016/j.jag.2021.102384.[8] Quan, Yinghui, Tong, Yingping, Feng, Wei, Dauphin, Gabriel, Huang, Wenjiang, Zhu, Wentao, Xing, Mengdao. Relative Total Variation Structure Analysis-Based Fusion Method for Hyperspectral and LiDAR Data Classification. REMOTE SENSING[J]. 2021, 13(6): https://doaj.org/article/a8fef90df2be4e1f8fafe591cb78db5a.[9] Biyao Zhang, Huichun Ye, Wei Lu, Wenjiang Huang, Bo Wu, Zhuoqing Hao, Hong Sun. A Spatiotemporal Change Detection Method for Monitoring Pine Wilt Disease in a Complex Landscape Using High-Resolution Remote Sensing Imagery. REMOTE SENSING[J]. 2021, 13(11): [10] Guo, Anting, Huang, Wenjiang, Dong, Yingying, Ye, Huichun, Ma, Huiqin, Liu, Bo, Wu, Wenbin, Ren, Yu, Ruan, Chao, Geng, Yun. Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology. REMOTE SENSING[J]. 2021, 13(1): https://doaj.org/article/5ee153924fc44c33946b9e75ba04f53f.[11] Zheng, Qiong, Ye, Huichun, Huang, Wenjiang, Dong, Yingying, Jiang, Hao, Wang, Chongyang, Li, Dan, Wang, Li, Chen, Shuisen. Integrating Spectral Information and Meteorological Data to Monitor Wheat Yellow Rust at a Regional Scale: A Case Study. REMOTE SENSING[J]. 2021, 13(2): https://doaj.org/article/e3a220bff8a64e29a4989ab06f35ad3b.[12] 黄文江, 董莹莹, 赵龙龙, 耿芸, 阮超, 张弼尧, 孙忠祥, 张寒苏, 叶回春, 王昆. 蝗虫遥感监测预警研究现状与展望. 遥感学报[J]. 2020, 24(10): 1270-1279, http://lib.cqvip.com/Qikan/Article/Detail?id=7103205098.[13] Guo, Anting, Huang, Wenjiang, Ye, Huichun, Dong, Yingying, Ma, Huiqin, Ren, Yu, Ruan, Chao. Identification of Wheat Yellow Rust Using Spectral and Texture Features of Hyperspectral Images. REMOTE SENSING[J]. 2020, 12(9): http://dx.doi.org/10.3390/rs12091419.[14] Yu Ren, Yanhua Meng, Wenjiang Huang, Huichun Ye, Yuxing Han, Weiping Kong, Xianfeng Zhou, Bei Cui, Naichen Xing, Anting Guo, Yun Geng. Novel Vegetation Indices for Cotton Boll Opening Status Estimation Using Sentinel-2 Data. REMOTE SENSING[J]. 2020, 12(11): https://doaj.org/article/ad3c1cec866e42b8b082ca2de793c1f8.[15] Huichun Ye, Wenjiang Huang, Shanyu Huang, Bei Cui, Yingying Dong, Anting Guo, Yu Ren, Yu Jin. Recognition of Banana Fusarium Wilt Based on UAV Remote Sensing. REMOTE SENSING[J]. 2020, 12(6): https://doaj.org/article/a6e7ee7d56fe469fa07470d04ec1ef4e.[16] Ding, Chao, Huang, Wenjiang, Li, Yao, Zhao, Shuang, Huang, Fang. Nonlinear Changes in Dryland Vegetation Greenness over East Inner Mongolia, China, in Recent Years from Satellite Time Series. SENSORS[J]. 2020, 20(14): https://doaj.org/article/3be6f475013b4ef2a92084f95ab60464.[17] Cui Bei, Zhao Qianjun, Huang Wenjiang, Song Xiaoyu, Ye Huichun, Zhou Xianfeng. Leaf chlorophyll content retrieval of wheat by simulated RapidEye, Sentinel-2 and EnMAP data. JOURNAL OF INTEGRATIVE AGRICULTURE[J]. 2019, 18(6): 1230-1245, http://lib.cqvip.com/Qikan/Article/Detail?id=7002170487.[18] Zhou, Xianfeng, Huang, Wenjiang, Zhang, Jingcheng, Kong, Weiping, Casa, Raffaele, Huang, Yanbo. A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2019, 76: 128-142, http://dx.doi.org/10.1016/j.jag.2018.10.012.[19] Bei Cui, Qianjun Zhao, Wenjiang Huang, Xiaoyu Song, Huichun Ye, Xianfeng Zhou. A New Integrated Vegetation Index for the Estimation of Winter Wheat Leaf Chlorophyll Content. REMOTE SENSING[J]. 2019, 11(8): https://doaj.org/article/cc82077cc443459ead30c2ab762dc7d1.[20] Yue Shi, Wenjiang Huang, Pablo GonzlezMoreno, Belinda Luke, Yingying Dong, Qiong Zheng, Huiqin Ma, Linyi Liu. Wavelet-Based Rust Spectral Feature Set (WRSFs): A Novel Spectral Feature Set Based on Continuous Wavelet Transformation for Tracking Progressive Host-Pathogen Interaction of Yellow Rust on Wheat. REMOTE SENSING[J]. 2018, 10(4): https://doaj.org/article/5c9152b9bd6144c4852afe20164170af.[21] Shi, Yue, Huang, Wenjiang, Ye, Huichun, Ruan, Chao, Xing, Naichen, Geng, Yun, Dong, Yingying, Peng, Dailiang. Partial Least Square Discriminant Analysis Based on Normalized Two-Stage Vegetation Indices for Mapping Damage from Rice Diseases Using PlanetScope Datasets. SENSORS[J]. 2018, 18(6): https://doaj.org/article/cca751cde611430d9ea5f6a783f12156.[22] Wenjiang Huang, Junjing Lu, Huichun Ye, Weiping Kong, AHugh Mortimer, Yue Shi. Quantitative identification of crop disease and nitrogen-water stress in winter wheat using continuous wavelet analysis. INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING[J]. 2018, 11(2): 145-152, https://www.webofscience.com/wos/woscc/full-record/WOS:000429243100019.[23] Qiong Zheng, Wenjiang Huang, Ximin Cui, Yingying Dong, Yue Shi, Huiqin Ma, Linyi Liu. Identification of Wheat Yellow Rust Using Optimal Three-Band Spectral Indices in Different Growth Stages. SENSORS[J]. 2018, 19(1): https://doaj.org/article/2d536bf7a16a4b5e9ab6d9b145bf3124.[24] Shi, Yue, Huang, Wenjiang, Dong, Yingying, Peng, Dailiang, Zheng, Qiong, Yang, Puyun. The influence of landscape's dynamics on the Oriental Migratory Locust habitat change based on the time-series satellite data. JOURNAL OF ENVIRONMENTAL MANAGEMENT[J]. 2018, 218: 280-290, http://dx.doi.org/10.1016/j.jenvman.2018.04.028.[25] Zhou, Xianfeng, Huang, Wenjiang, Kong, Weiping, Ye, Huichun, Dong, Yingying, Casa, Raffaele. Assessment of of leaf carotenoids content with a new carotenoid index: Development. and validation on experimental and model data. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2017, 57: 24-35, [26] Shi, Yue, Huang, Wenjiang, Zhou, Xianfeng. Evaluation of wavelet spectral features in pathological detection and discrimination of yellow rust and powdery mildew in winter wheat with hyperspectral reflectance data. JOURNAL OF APPLIED REMOTE SENSING[J]. 2017, 11: [27] Ye, Huichun, Huang, Wenjiang, Huang, Shanyu, Huang, Yuanfang, Zhang, Shiwen, Dong, Yingying, Chen, Pengfei. Effects of different sampling densities on geographically weighted regression kriging for predicting soil organic carbon. SPATIAL STATISTICS[J]. 2017, 20: 76-91, http://dx.doi.org/10.1016/j.spasta.2017.02.001.[28] Ye Huichun, Huang Yuanfang, Chen Pengfei, Huang Wenjiang, Zhang Shiwen, Huang Shanyu, Hou Sen. Effects of land use change on the spatiotemporal variability of soil organic carbon in an urban-rural ecotone of Beijing, China. JOURNAL OF INTEGRATIVE AGRICULTURE[J]. 2016, 15(4): 918-928, http://lib.cqvip.com/Qikan/Article/Detail?id=668675015.[29] Zhou, Xianfeng, Huang, Wenjiang, Kong, Weiping, Ye, Huichun, Luo, Juhua, Chen, Pengfei. Remote estimation of canopy nitrogen content in winter wheat using airborne hyperspectral reflectance measurements. ADVANCES IN SPACE RESEARCH[J]. 2016, 58(9): 1627-1637, http://dx.doi.org/10.1016/j.asr.2016.06.034.[30] Xie, Qiaoyun, Huang, Wenjiang, Zhang, Bing, Chen, Pengfei, Song, Xiaoyu, Pascucci, Simone, Pignatti, Stefano, Laneve, Giovanni, Dong, Yingying. Estimating Winter Wheat Leaf Area Index From Ground and Hyperspectral Observations Using Vegetation Indices. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2016, 9(2): 771-780, http://dx.doi.org/10.1109/JSTARS.2015.2489718.[31] 王静, 景元书, 黄文江, 张竞成, 赵娟, 张清, 王力. 冬小麦条锈病严重度不同估算方法对比研究. 光谱学与光谱分析[J]. 2015, 35(6): 1649-1653, http://lib.cqvip.com/Qikan/Article/Detail?id=667662093.[32] Xie, Qiaoyun, Huang, Wenjiang, Dash, Jadunandan, Song, Xiaoyu, Huang, Linsheng, Zhao, Jinling, Wang, Renhong. Evaluating the potential of vegetation indices for winter wheat LAI estimation under different fertilization and water conditions. ADVANCES IN SPACE RESEARCH[J]. 2015, 56(11): 2365-2373, http://dx.doi.org/10.1016/j.asr.2015.09.022.[33] 杨绍源, 黄文江, 梁栋, 黄林生, 杨贵军, 张东彦, 蔡淑红. 利用多角度光谱数据探测冬小麦氮素含量垂直分布方法研究. 光谱学与光谱分析[J]. 2015, 35(7): 1956-1960, http://lib.cqvip.com/Qikan/Article/Detail?id=667662174.[34] Huang, Wenjiang, Guan, Qingsong, Luo, Juhua, Zhang, Jingcheng, Zhao, Jinling, Liang, Dong, Huang, Linsheng, Zhang, Dongyan. New Optimized Spectral Indices for Identifying and Monitoring Winter Wheat Diseases. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2014, 7(6): 2516-2524, http://159.226.73.51/handle/332005/12834.[35] 黄文江. 基于热点效应的不同株型小麦LAI反演. 光谱学与光谱分析. 2014, [36] 黄文江. Identification of wheat pest and other stresses by canopy reflected spectrum. Sensor Letters. 2014, [37] 黄文江. 最小二乘支持向量机方法对冬小麦叶面积指数反演的普适性研究. 光谱学与光谱分析. 2014, [38] 谢巧云, 黄文江, 蔡淑红, 梁栋, 彭代亮, 张清, 黄林生, 杨贵军, 张东彦. 冬小麦叶面积指数遥感反演方法比较研究. 光谱学与光谱分析[J]. 2014, 第5期(5): 1352-1356, http://lib.cqvip.com/Qikan/Article/Detail?id=49562041.[39] 黄文江. 冬小麦不同生育时期叶面积指数反演方法研究. 光谱学与光谱分析. 2013, [40] 黄文江. Characterizing spatiotemporal dynamics of land cover with multi-temporal remotely sensed imageryin Beijing during 1978–2010. 2013, [41] Wang, Zhou, Huang, Wenjiang, Yang, Keming, Tian, Long, Cui, Li, Yang, Gunjun, Li, Heli. Estimation of Leaf Nitrogen and Grain Protein Content by Hyperspectral Vegetation Index in Winter Wheat. SENSOR LETTERS[J]. 2013, 11(6-7): 1115-1120, http://ir.ceode.ac.cn/handle/183411/30043.[42] Yang, Qinying, Huang, Wenjiang, Zhao, Jinling, Dong, Liang, Huang, Linsheng, Zhang, Dongyan, Liu, Liangyun, Yang, Guijun, Song, Xiaoyu. Effect of Canopy Geometry on Estimation of Leaf Area Index in Winter Wheat Using Multi-angle Spectrum. INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY[J]. 2013, 15(6): 1187-1192, http://ir.ceode.ac.cn/handle/183411/29700.[43] Luo, Juhua, Huang, Wenjiang, Zhao, Jinling, Zhang, Jingcheng, Zhao, Chunjiang, Ma, Ronghua. Detecting Aphid Density of Winter Wheat Leaf Using Hyperspectral Measurements. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2013, 6(2): 690-698, http://dx.doi.org/10.1109/JSTARS.2013.2248345.[44] Zhang, JingCheng, Pu, Ruiliang, Wang, Jihua, Huang, Wenjiang, Yuan, Lin, Luo, Juhua. Detecting powdery mildew of winter wheat using leaf level hyperspectral measurements. COMPUTERS AND ELECTRONICS IN AGRICULTURE[J]. 2012, 85: 13-23, http://dx.doi.org/10.1016/j.compag.2012.03.006.[45] Zhao Jinling, Huang Wenjiang, Zhang Dongyan, Luo, J, Zhang Jingcheng, Huang Linsheng, Chen, S. Characterization and identification of leaf-scale wheat powdery mildew using a ground-based hyperspectral imaging system. DISASTER ADVANCES[J]. 2012, 5(4): 1657-1662, http://ir.ceode.ac.cn/handle/183411/29671.[46] 黄文江. Detection and mapping of hail damage to corn using domestic remotely sensed data in China. Disaster Advances. Australian Journal of Crop Science. 2012, [47] Zhang, Dongyan, Yang, Guijun, Song, Xiaoyu, Wang, Zhijie, Wang, Dacheng, Zhao, Jinling, Huang, Linsheng, Huang, Wenjiang. In-Situ Calibration of Relative Reflectance for Visible/Near-Infrared Imaging Spectrometer. SENSOR LETTERS[J]. 2012, 10(1-2): 198-204, https://www.webofscience.com/wos/woscc/full-record/WOS:000303957300031.[48] Zhao, JinLing, Zhang, DongYan, Luo, JuHua, Yang, Hao, Huang, LinSheng, Huang, WenJiang. A Comparative Study on Monitoring Leaf-scale Wheat Aphids using Pushbroom Imaging and Non-imaging ASD Field Spectrometers. INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY[J]. 2012, 14(1): 136-140, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000299661000022.[49] Huang, Wenjiang, Wang, Zhijie, Huang, Linsheng, Lamb, David W, Ma, Zhihong, Zhang, Jincheng, Wang, Jihua, Zhao, Chunjiang. Estimation of vertical distribution of chlorophyll concentration by bi-directional canopy reflectance spectra in winter wheat. PRECISION AGRICULTURE[J]. 2011, 12(2): 165-178, http://ir.ceode.ac.cn/handle/183411/28603.[50] 黄文江. The Preliminary Study on Spectral Response of Wheat under Different Stresses between Field and Satellite Remote Sensing. Sensor Letters. 2011, [51] Luo Juhua, Zhang Jingcheng, Huang Wenjiang, Xu Xingang, Jin Ning. Preliminary Study on the Relationship between Land Surface Temperature and Occurrence of Yellow Rust in Winter Wheat. DISASTER ADVANCES[J]. 2010, 3(4): 288-292, http://ir.ceode.ac.cn/handle/183411/29771.[52] 罗菊花, 张竞成, 黄文江, 杨贵军, 顾晓鹤, 杨浩. 基于单通道算法的HJ-1B与Landsat 5 TM地表温度反演一致性研究. 光谱学与光谱分析[J]. 2010, 3285-3289, http://lib.cqvip.com/Qikan/Article/Detail?id=35992614.[53] Huang, Wenjiang, Song, Xiaoyu, Lamb, David W, Wang, Zhijie, Niu, Zheng, Liu, Liangyun, Wang, Jihua. Estimation of winter wheat grain crude protein content from in situ reflectance and advanced spaceborne thermal emission and reflection radiometer image. JOURNAL OF APPLIED REMOTE SENSING[J]. 2008, 2(13): http://ir.ceode.ac.cn/handle/183411/28589.[54] Evaluation of spectral indices and continuous wavelet analysis to quantify aphid infestation in wheat. http://159.226.73.51/handle/332005/12668.
发表著作
(1) 农业定量遥感基础与应用, quantitative remote sensing in agriculture, 科学出版社, 2008-08, 第 3 作者(2) 作物病害遥感监测研究与应用, crop pest and disease monitoring and applications, 农业科技出版社, 2009-09, 第 1 作者(3) 作物病害和虫害遥感监测研究, Crop Disease and Pest Monitoring by Remote Sensing, INTECH, 2012-06, 第 2 作者(4) 作物病虫害遥感监测与预测, crop pest and disease monitoring, 科学出版社, 2015-09, 第 1 作者(5) 作物理化参数遥感定量反演, 科学出版社, 2017-04, 第 1 作者(6) 亚非沙漠蝗虫灾情遥感监测, 科学出版社, 2021-03, 第 3 作者(7) 作物长势与土壤养分遥感定量监测及应用, 中国农业科学技术出版社, 2021-08, 第 2 作者(8) 中国东亚飞蝗数字化区划与可持续治理, 中国农业科学技术出版社, 2021-12, 第 2 作者(9) Crop Pest and Disease Remote Sensing Monitoring and Forecasting, SCIENCE PRESS, 2022-03, 第 2 作者
科研活动
科研项目
( 1 ) 多源数据小麦病害遥感识别与监测方法研究, 负责人, 国家任务, 2013-01--2016-12( 2 ) 作物养分空间维和时间维扩展遥感监测研究, 负责人, 国家任务, 2011-01--2013-12( 3 ) 小麦苗情遥感监测技术, 负责人, 国家任务, 2009-10--2013-09( 4 ) 基于多源遥感数据的中国陆地生态系统碳汇估算及不确定性分析, 负责人, 国家任务, 2010-10--2014-09( 5 ) 植被定量遥感参数反演与真实性检验, 负责人, 中国科学院计划, 2012-05--2014-05( 6 ) 植被定量遥感反演模型与尺度效应研究, 负责人, 研究所自主部署, 2012-05--2014-05( 7 ) 全国主要作物病虫害遥感监测和预报系统构建, 负责人, 研究所自主部署, 2015-01--2016-12( 8 ) 海南农业灾害遥感监测与空间信息服务研究与示范, 负责人, 地方任务, 2015-01--2017-12( 9 ) 主要作物主要病虫害遥感监测与预警研究, 负责人, 中国科学院计划, 2015-03--2018-03( 10 ) 主要作物病虫害遥感监测与预测方法研究, 负责人, 国家任务, 2016-04--2019-04( 11 ) 多源数据小麦病害遥感识别与监测方法研究, 负责人, 国家任务, 2016-01--2019-12( 12 ) 海南省自然科学基金创新团队项目:海南省资源环境遥感监测, 负责人, 地方任务, 2016-01--2017-12( 13 ) 遥感立体协同观测与地表要素高精度反演, 负责人, 国家任务, 2016-07--2020-12( 14 ) 全球基础空间信息产品系统, 负责人, 中国科学院计划, 2018-01--2022-12( 15 ) 草地贪夜蛾适生区遥感提取与发生预测研究, 负责人, 国家任务, 2021-01--2024-12( 16 ) 多源卫星协同的作物病虫害遥感监测研究, 负责人, 中国科学院计划, 2021-01--2023-12( 17 ) 北斗支持的农业灾害遥感测报与环保防治, 负责人, 国家任务, 2021-12--2025-12( 18 ) 重大生物灾害监测与环境事件遥感应急监测预警, 负责人, 研究所自主部署, 2023-03--2023-12( 19 ) 草原蝗虫遥感监测预警关键技术研究, 负责人, 地方任务, 2021-01--2023-12( 20 ) 风云卫星全球主要陆地生态系统参数数据集研发, 负责人, 国家任务, 2022-07--2023-12
参与会议
(1)植被病虫害遥感监测预警方法 植被病虫害遥感大会 2023-08-18(2)Quantitative Remote Sensing for Crop Biophysical and Biochemical Inversion and its Application for Precision Agriculture 2020-08-03(3)Crop diseases and pests monitoring and forecasting system 2019-09-21(4)crop pest and disease monitoring and forecasting by remote sensing 2018-03-20(5)monitoring of crop pests and diseases 中英国际合作基金项目启动会 2016-06-22(6)Remote sensing research and application in precision agriculture wenjianghuang 2012-10-23(7)Chlorophyll, Nitrogen Vertical Distribution and Crop Disease Monitoring by Remote Sensing APEC成员体遥感与GIS技术在作物生产能力中的应用研讨会 wenjianghuang 2012-07-19
指导学生
已指导学生
周贤锋 博士研究生 070503-地图学与地理信息系统
谢巧云 博士研究生 070503-地图学与地理信息系统
任传帅 硕士研究生 085208-电子与通信工程
孔维平 博士研究生 070503-地图学与地理信息系统
刘林毅 博士研究生 070503-地图学与地理信息系统
邢乃琛 博士研究生 070503-地图学与地理信息系统
师越 博士研究生 070503-地图学与地理信息系统
崔贝 博士研究生 070503-地图学与地理信息系统
耿芸 博士研究生 070503-地图学与地理信息系统
武彬 博士研究生 070503-地图学与地理信息系统
郭安廷 博士研究生 070503-地图学与地理信息系统
任淯 博士研究生 070503-地图学与地理信息系统
孙瑞祺 硕士研究生 070503-地图学与地理信息系统
阮超 博士研究生 070503-地图学与地理信息系统
现指导学生
黄滟茹 博士研究生 070503-地图学与地理信息系统
郝卓青 博士研究生 070503-地图学与地理信息系统
钱彬祥 博士研究生 070503-地图学与地理信息系统
郭静 博士研究生 070503-地图学与地理信息系统
侯瑞 博士研究生 070503-地图学与地理信息系统
胡博海 博士研究生 070503-地图学与地理信息系统
任珂辉 博士研究生 070503-地图学与地理信息系统
成湘哲 博士研究生 070503-地图学与地理信息系统